Submissions

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Author Guidelines

Authors are invited to make a submission to this journal. All submissions will be assessed by an editor to determine whether they meet the aims and scope of this journal. Those considered to be a good fit will be sent for peer review before determining whether they will be accepted or rejected.

Before making a submission, authors are responsible for obtaining permission to publish any material included with the submission, such as photos, documents and datasets. All authors identified on the submission must consent to be identified as an author. Where appropriate, research should be approved by an appropriate ethics committee in accordance with the legal requirements of the study's country.

An editor may desk reject a submission if it does not meet minimum standards of quality. Before submitting, please ensure that the study design and research argument are structured and articulated properly. The title should be concise and the abstract should be able to stand on its own. This will increase the likelihood of reviewers agreeing to review the paper. When you're satisfied that your submission meets this standard, please follow the checklist below to prepare your submission.

Submission Preparation Checklist

All submissions must meet the following requirements.

  • Strongly recommended to use the template we provide to format your article, which will greatly improve the efficiency of peer-review and publication. However, this is not mandatory. Download Template
  • A minimum of 15 references is required, and all references have been checked for accuracy and completeness.
  • The total word count must be between 5,000 to 9,000 words, including references, tables, and appendices.
  • References should adhere to the APA7 citation style.
  • The content is thoroughly checked to ensure the plagiarism rate (or called similarity) is below 25%, AI rate belew 20%(Showing *% or 0% in turnitin).
  • This submission meets the requirements outlined in the Author Guidelines.
  • This submission has not been previously published, nor is it before another journal for consideration.
  • All references have been checked for accuracy and completeness.
  • All tables and figures have been numbered and labeled.
  • Permission has been obtained to publish all photos, datasets and other material provided with this submission.

History and Philosophy

The scope of manuscripts accepted includes: philosophy, ethics, archaeology, Chinese history, world history, museums, etc.

Economics and Management

Scope of acceptance: theoretical economics, applied economics, finance, applied statistics, taxation, international business, insurance, asset valuation, digital economy, management science and engineering, business administration, agricultural and forestry economic management, public administration, information resource management, accounting, tourism management, library and information, engineering management, and auditing.

Law

The scope of manuscripts accepted includes: law, political science, sociology, ethnology, Marxist theory, public security, CPC history and party building, discipline inspection and supervision, law, social work, police, intellectual property, international affairs

Literature and Journalism

The scope of manuscripts accepted includes: Chinese language and literature, foreign language and literature, journalism and communication, translation, and publishing.

Art and Design

Scope of manuscripts: music, dance, drama and film, opera and folk art, fine arts and calligraphy, design.

Education and Sports

Scope of manuscript acceptance: Education, Psychology, Physical Education, Sports, International Chinese Education.

Computational Education and Sustainable Development

Special Issue Information:

Dear Colleagues,

  Computational education is an emerging interdisciplinary field centered on big data and computational methods, integrating education with computational science. It aims to quantify educational processes, analyze learning behaviors, and optimize educational practices. It brings powerful methodological resources to address major challenges facing education today, including unequal access to knowledge, insufficient precision in educational assessment, and pathways to sustainable educational development.

  However, the penetration of computational technology (particularly AI) in education is not a single narrative, but a multi-dimensional process full of contradictions. As UNESCO warned in its 2025 report AI and the Future of Education: Disruptions, Dilemmas and Directions: technology may serve as a tool to promote educational equity, yet it may also exacerbate global inequality; it may reshape the essence of teaching and learning, yet it may also threaten the public nature and humanistic core of education. Data-driven educational decision-making may enhance efficiency, yet it may also oversimplify educational complexity; algorithmic recommendations may personalize learning pathways, yet they may also solidify cognitive biases.

  Therefore, we invite researchers and professionals from the fields of education, psychology, and computer technology to contribute their research and experiences, exploring this intersection full of opportunities and challenges from different perspectives.

  The proposed themes for this special issue include:

  • Integration of computational thinking and teaching innovation
  • Applications of educational statistics, psychometrics, and machine learning in learning assessment
  • Computational education for promoting educational inclusivity and diversity
  • Computational education pathways for lifelong learning and sustainable development
  • Ethical challenges in educational data mining and learning analytics
  • Computational education management and educational decision support systems

  In summary, this special issue aims to serve as a space for reflection and discussion: how computational education can become a catalyst for more inclusive, personalized, and sustainable education, rather than an alienating tool. We invite researchers and educators to publish articles in this special issue. The selected articles will contribute to a broad and in-depth overview of the possibilities, risks, and coping strategies that computational education brings to sustainable development, providing critical yet constructive insights for academia, professionals, and policymakers.

 

 

Guest Editors

Dr. Qiang Wan, South China University of Technology, China

Dr. 마진청, Daegu Catholic University, Republic of Korea

Dr. QiaoLing Qiu, University of Sunderland, United Kingdom

Dr. Pingbo Chen, Nanjing University of Posts and Telecommunications, YangZhou, China

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